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Course Criteria
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3.00 Credits
Broadband integrated services digital networks, high-speed networks, radio and satellite networks, lightwave networks; multimedia communications, wireless communications, high-speed communications; network design, network architectures, traffic and admission control, routing and flow control, performance issues, traffic characteristics. Enrollment Requirement: CS 433 and 537.
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3.00 Credits
Advanced data models such as objectoriented databases, distributed databases, deductive databases, and multimedia databases, abstractions, dependencies, normalizations, query optimizations, implementations, languages, database machines, and other advanced topics. Enrollment Requirement: CS 443.
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3.00 Credits
In-depth discussion on selected subdisciplines of Artificial Intelligence. Use of formal techniques and well-known systems for these subdisciplines. Discussion of current research and programming in Lisp, Prolog or an expert system shell to develop or modify certain systems in these areas. Prerequisite: CS 571.
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3.00 Credits
The subjects to be studied first include forecasting using statistical methods such as Box-Jenkins ARIMA models for time series analysis and forecasting with artificial neural networks. The applications include financial forecasting for stock prices, commodity trading volumes or currency exchange rates and other forecasting such as electric load, ocean temperature, river flow volume, and traffic flow. Then the current state-of-art forecasting methodologies from journals, conference proceedings, and books will be discussed. May not be taken for credit by students who have received credit for CS 697A. Enrollment Requirement: MATH 242 and 440. Prerequisite: CS 573 or 575.
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3.00 Credits
Individually directed reading and study in Computer Science literature for graduate students, focusing on advanced topics. Enrollment restricted to students who have obtained consent of instructor.
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3.00 Credits
Advanced topics of current interest in computer science for graduate students. Students should check the Class Schedule for listing of actual topics. May be repeated for credit as topics change for a total of six (6) units. Enrollment restricted to students who have obtained consent of instructor.
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3.00 Credits
Faculty-supervised investigation, to culminate in a written report for the master's degree. Enrollment Requirement: An officially appointed advisory comittee with a project advisor and advancement to candidacy.
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3.00 Credits
Preparation of a thesis for the master's degree. May be repeated for a total of six (6) units of credit. Graded Credit/No Credit. Enrollment Requirement: An officially appointed thesis committee with a thesis advisor as the chair of the committee and advancement to candidacy.
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3.00 Credits
Registration is limited to students who have received a grade of Satisfactory Progress (SP) in CS 699 and who expect to use the facilities and resources of the University to work on or complete the thesis. Also, students must be registered in CS 700 when the completed thesis is granted final approval. Graded Credit/No Credit. May be repeated for a total of three (3) units, but credit will not be counted toward the Master of Science in Computer Science.
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3.00 Credits
Survey of dance on the stage and off, in the studio as well as in the club, and performed by everyday and famous people. Focusing primarily on movement in the United States, investigates dance as a cultural and historical phenomenon. Course includes: lectures, demonstrations, dance performances, research papers, and collaborative presentations.
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